Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis
Diego Galar PascualArtificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM). This indispensable resource:
- Addresses nearest-neighbor-based, clustering-based, statistical, and information theory-based techniques
- Considers the merits of each technique as well as the issues associated with real-life application
- Covers classification methods, from neural networks to Bayesian and support vector machines
- Proposes fuzzy logic to explain the uncertainties associated with diagnostic processes
- Provides data sets, sample signals, and MATLAB® code for algorithm testing
Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis delivers a thorough evaluation of the latest AI tools for CM, describing the most common fault diagnosis techniques used and the data acquired when these techniques are applied.
Kategoriler:
Yıl:
2015
Yayımcı:
CRC Press
Dil:
english
Sayfalar:
549
ISBN 10:
146658405X
ISBN 13:
9781466584051
Dosya:
PDF, 9.28 MB
IPFS:
,
english, 2015